Webinars 2018-04-18T23:51:22+00:00

Webinars and Videos On Demand

Webinars and videos are presented on a variety of subjects. We will cover packages, products (both Open Source & Commercial), have guest presenters, as well as general Q&A “Office Hour” recordings. All materials will be made available and at no cost. Be sure to check out our webinar and video archives. Our GitHub Webinar Repository for all webinars can be found at: https://github.com/rstudio/webinars.

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Upcoming Webinars

– April 25: Training your TensorFlow models in the cloud – Andrie de Vries

– May 9:  R-Hub – Gábor Csárdi

– May 23: RStudio Connect Architecture – Jeff Allen

– June 6: Async programming in R and Shiny – Joe Cheng

– June 20: Debugging techniques in RStudio – Amanda Gadrow

– July 11: A webinar on professional R tooling and integration – Nathan Stephens

– July 25: Plumbing APIs with plumber – Jeff Allen

– August 8: Load testing Shiny – Alan Dipert

Latest Video

 

Thinking inside the box: you can do that inside a data frame?! 

Jenny Bryan
Software Engineer, RStudio 

The data frame is a crucial data structure in R and, especially, in the tidyverse. Working on a column or a variable is a very natural operation, which is great. But what about row-oriented work? That also comes up frequently and is more awkward. In this webinar I’ll work through concrete code examples, exploring patterns that arise in data analysis. We’ll discuss the general notion of “split-apply-combine”, row-wise work in a data frame, splitting vs. nesting, and list-columns.

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Learning Roadmap

We’ve grouped our existing webinars into learning tracks that can help you expand your Data Science skills.

RStudio Events

View talks from our conferences below

Day 1

Day 2

Case Studies

IDE

Interop

Keynotes & Fireside Chats

Packages

 Production

Programming

R Markdown

R Shiny

Teaching

Tidyverse